Generalist for Data Annotation | $30-$80/hr Remote
Overview
micro1 is looking for a versatile data annotation specialist to help train next-generation AI systems. In this remote contractor role, you'll apply your domain expertise to create high-quality datasets — no prior AI background needed. Your critical thinking and attention to detail will directly shape how models learn and reason.
What You'll Do6
- 1Review and label diverse data types following detailed project guidelines, ensuring accuracy and consistency.
- 2Use critical thinking to verify that labels are relevant and correct, catching edge cases and ambiguities.
- 3Work closely with project leads to clarify annotation standards and resolve any uncertainties in real time.
- 4Document observations, tricky cases, and process improvements to help refine annotation workflows.
- 5Provide ongoing feedback to optimize procedures and maintain a high standard of quality across all tasks.
- 6Communicate regularly with coordinators via written and verbal channels to stay aligned on project goals.
Requirements5
- 1Proven experience in data annotation or a similar role requiring meticulous attention to detail.
- 2Strong written and verbal communication skills to collaborate effectively with remote teams.
- 3Ability to adapt quickly to evolving guidelines and handle a wide variety of content and annotation scenarios.
- 4Comfort working independently, managing your own deliverables, and staying productive in a remote environment.
- 5A generalist mindset — you're curious about different subjects and able to apply your knowledge across domains.
Who Should Apply
This role is perfect for someone who thrives on precision and enjoys digging into details. You don't need an AI background — your domain expertise and ability to think critically are what matter most. If you're a self-starter comfortable with remote collaboration and eager to contribute to cutting-edge AI training, this is for you.
Salary Insight
The role pays $30–$80 per hour depending on experience and task complexity.
Required Skills
Application Tip
When applying, highlight a specific example where your attention to detail caught a subtle error or inconsistency in a dataset or document — this demonstrates the core skill needed for the role.
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